Developed new workflows and technologies for hydrocarbon asset exploration and development in Saudi Arabia. Implemented solutions in C#, C++, and Python and deployed with Docker.
Applied machine learning to source rock maturity, seismic geomorphology, seismic interpretation, reservoir modeling, and sedimentary architecture.
Led projects on deepwater turbidites, salt mapping, fracture corridors, and high-performance computing, focusing on unsupervised learning and generative AI.
Transitioned nine technologies to exploration and development teams with a net predicted value of over $120M.
Director of the Crustal Imaging Facility | University of Oklahoma | Norman, Oklahoma | 2014 – 2018
Managed high-performance computing resources for research and teaching exploration geophysics and geology.
Taught graduate and undergraduate courses on computational geophysics, seismic interpretation, and seismic processing.
Conducted research on machine learning and big data analytics for hydrocarbon resource exploration and development.
Co-principal investigator for the Attribute Assisted Seismic Processing and Interpretation (AASPI) consortium, securing over $600k per year in industry funding.